Gundars Bērziņš

Mr Gundars Bērziņš

External Adviser to the President on Competitiveness and Economic Affairs of Latvia
gundars.berzins [at] president.lv

Gundars Bērziņš is the Dean of the Faculty of Business, Management and Economics of the University of Latvia (UL), professor and senior researcher, as well as a corresponding member of the Latvian Academy of Sciences (LAS). He holds a PhD in Management Science and has participated as a senior researcher in numerous research projects and is the author of international scientific publications. At the same time, G. Bērziņš is a member of the Board of ‘SSE Rīga Foundation’ and a member of the Council of the Student Business Incubator of the University of Latvia. Previously, he held the position of Chancellor of the University of Latvia. He has also worked in private business for a long time. His passion is the importance of strategy and strategic thinking in business.

Education

Higher

Academic degree, scientific degree, academic titles

Professor, PhD in Management Science (Dr. sc. admin.), senior researcher, corresponding member of the Academy of Sciences

Languages

Latvian – native

English – C1 level

Russian – C1 level

Professional activity

From 2023 – Consultant, Saeima of the Republic of Latvia

From 2019 – Chairman of the Productivity Council of Latvia

2019–2021 – Chairman of the Supervisory Board of Olainfarm JSC

From 2018 – Expert of the Latvian Science Council (LSC)

From 2018 – Professor, Faculty of Business, Management and Economics, University of Latvia

From 2018 – Corresponding Member of the Latvian Academy of Sciences

From 2017 – Senior Researcher, Faculty of Business, Management and Economics, Research Institute of Economics and Management, University of Latvia

From 2016 – Member of the Council of the Student Business Incubator of the University of Latvia

From 2016 – Dean of the Faculty of Business, Management and Economics, University of Latvia

2015–2018 – Associate Professor, Faculty of Business, Management and Economics, University of Latvia

From 2014 – Member of the Foundation Board of the Stockholm School of Economics in Riga

2014–2015 – Assistant Professor, Faculty of Economics and Management, University of Latvia

2009–2016 – Chancellor of the University of Latvia

2009–2019 – Member of the Board of Saules gaisma Consulting Ltd.

2008–2009 – Director of the Department of Finance and Accounting, University of Latvia

2003–2008 – Executive Director, Faculty of Economics and Management, University of Latvia

2002–2014 – Lecturer, Faculty of Economics and Management, University of Latvia

2001–2003 – Assistant Dean for International Relations, Faculty of Economics and Management, University of Latvia

1998–2001 – Executive Director of AD Trans Ltd.

1995–1998 – Executive Director of HZ Trans Ltd.

1993–1995 – Director of Banex Ltd.

Publications (last 5 years)

If I Know What You Watch on TV, I Can Guess What Kind of Person You Are: Predicting Personality from TV Viewing Patterns / Ivars Austers, Gundars Bērziņš, Krišus Ancāns, Aldis Erglis, Irina Arhipova, Evija Ansonska // International Journal of Interdisciplinary Social and Community Studies Vol. 17, N 2 (2022), p.41–48. https://doi.org/10.18848/2324-7576/CGP/v17i02/41-48., URL: https://cgscholar.com/bookstore/works/if-i-know-what-you-watch-on-tv ISSN 2324-7576 (SCOPUS/WoS)

Nechval, Nicholas A. A New Pivot-Based Approach to Constructing Prediction Limits and Shortest-Length or Equal Tails Confidence Intervals for Future Outcomes under Parametric Uncertainty / Nicholas A. Nechval, Gundars Berzins, Konstantin N. Nechval // 31st European Safety and Reliability Conference, ESREL 2021, 19-23 September, 2021, Angers, France: Proceedings Angers, 2021 P.2886-2893. doi: 10.3850/978-981-18-2016-8_419-cd, URL: https://rpsonline.com.sg/proceedings/9789811820168/html/419.xml ISBN 9789811820168 (SCOPUS/WoS)

Socio-Economic Situation in Latvia’s Municipalities in the Context of Administrative-Territorial Division and Unexpected Impact of COVID-19 / Irina Arhipova, Gundars Berzins, Aldis Erglis, Evija Ansonska, Juris Binde // Journal of Global Information Management Vol. 30, N 10 (2022), p.1-27. DOI:10.4018/JGIM.298002, URL: https://www.igi-global.com/viewtitle.aspx?TitleId=298002&isxn=9781668457047 ISSN 1062-7375 (SCOPUS/WoS)

Detection of SARS-CoV-2 RNA in wastewater and importance of population size assessment in smaller cities: An exploratory case study from two municipalities in Latvia / Dita Gudra, Sandis Dejus, Vadims Bartkevics, Ance Roga, Ineta Kalnina, Martins Strods, Anton Rayan, Kristina Kokina, Anna Zajakina, Uga Dumpis, Laura Elina Ikkere, Irina Arhipova, Gundars Berzins, Aldis Erglis, Evija Ansonska ... [et al.] // Science of the Total Environment Vol. 823 (2022), Article number 153775. https://doi.org/10.1016/j.scitotenv.2022.153775 , URL: https://www.sciencedirect.com/science/article/pii/S0048969722008671 ISSN 0048-9697 (SCOPUS/WoS)

Nechval, Nicholas. A New Simple Computational Method of Simultaneous Constructing and Comparing Confidence Intervals of Shortest Length and Equal Tails for Making Efficient Decisions Under Parametric Uncertainty / Nicholas Nechval, Gundars Berzins, Konstantin Nechval // 6th International Congress on Information and Communication Technology, ICICT 2021, 25-26 February, 2021, Virtual, Online : Proceedings. (Lecture Notes in Networks and Systems; Vol. 235). Virtual, 2022. P.473-482. DOI: 10.1007/978-981-16-2377-6_44., URL: https://link.springer.com/chapter/10.1007/978-981-16-2377-6_44 ISBN 9789811623769. ISSN 23673370 (SCOPUS/WoS)

Nechval, Nicholas A. A New Unified Computational Method for Finding Confidence Intervals of Shortest Length and/or Equal Tails under Parametric Uncertainty / Nicholas A. Nechval, Gundars Berzins, Konstantin N. Nechval // International Conference on Computational Science and Computational Intelligence, CSCI 2021, 15-17 December, 2021: Proceedings IEEE, 2021 P.533-539. https://doi.org/ 10.1109/CSCI54926.2021.00046, URL: https://ieeexplore.ieee.org/xpl/conhome/9798893/proceeding ISBN 9781665458412 (SCOPUS/WoS)

Population Mobility Patterns and Monitoring of COVID-19 Restriction Measures in Latvia / Irina Arhipova, Gundars Berzins, Aldis Erglis, Evija Ansonska, Juris Binde // 3rd International Conference on Finance, Economics, Management and IT Business (FEMIB 2021), Web-based, April 25-26, 2021: Proceedings / eds.: Patricia Baudier, Mitra Arami, Victor Chang Setubal: SciTePress, 2021 P.98-102. DOI: 10.5220/0010467600980102, URL: https://www.scitepress.org/Link.aspx?doi=10.5220/0010467600980102 ISBN 9789897585074 (SCOPUS/WoS)

Intelligent Constructing Efficient Statistical Decisions via Pivot-Based Elimination of Unknown (Nuisance) Parameters from Underlying Models / N.A. Nechval, G. Berzins, K.N. Nechval, Zh.Tsaurkubule // Automatic Control and Computer Sciences Vol. 55, N 5 (2021), p.469-489. http://10.3103/S0146411621050060, URL: https://link.springer.com/article/10.3103%2FS0146411621050060 ISSN 0146-4116 (SCOPUS/WoS)

A Novel Unified Computational Approach to Constructing Shortest-Length or Equal Tails Confidence Intervals in Terms of Pivotal Quantities and Quantile Functions / N. A. Nechval, G. Berzins, K. N. Nechval, Zh. Tsaurkubule // Automatic Control and Computer Sciences Vol. 55, N 1 (2021), p.66-84. DOI: 10.3103/S0146411621010065, URL: https://link-springer-com.datubazes.lanet.lv/article/10.3103/S0146411621010065 ISSN 0146-4116 (SCOPUS/WoS)

Nechval, Nicholas A. Cost-Effective Planning Reliability-Based Inspections of Fatigued Structures in the Case of Log-Location-Scale Distributions of Lifetime under Parametric Uncertainty / Nicholas A. Nechval, Gundars Berzins, Konstantin N. Nechval References: p. 2872 // Proceedings of the 30th European Safety and Reliability Conference and the 15th Probabilistic Safety Assessment and Management Conference (ESREL2020-PSAM15) / ed. by Piero Baraldi, Francesco Di Maio, Enrico Zio [Singapore]: Research Publishing, 2020 P. 2865-2872: fig., tab. DOI: 10.3850/978-981-14-8593-0 3664-cd, URL: http://rpsonline.com.sg/proceedings/9789811485930/pdf/3664.pdf ISBN 9789811485930 (SCOPUS/WoS)

Petrovska, Elina. Use and Development of Contingency Theory / Elina Petrovska, Gundars Berzins. Bibliography: p.388-389 // New Challenges in Economic and Business Development - 2020: Economic Inequality and Well-Being: 12th International Scientific Conference, October 2, 2020, Riga: Proceedings / organised by Faculty of Business, Management and Economics, University of Latvia Riga: University of Latvia, 2020 P.380-388 : fig., URL: https://dspace.lu.lv/dspace/handle/7/52888 ISBN 9789934185984 (SCOPUS/WoS)

Intelligent Constructing Optimal Airline Seat Protection Levels for Multiple Nested Fare Classes of Single-Leg Flights / N. A. Nechval, G. Berzins, K. N. Nechval, V. Danovics // Journal of Physics: Conference Series Vol. 1603, N 1 (2020), Article number 012023. DOI: 10.1088/1742-6596/1603 /1/012023, URL: https://iopscience.iop.org/article/10.1088/1742-6596/1603/1/012023 ISSN 1742-6588 (SCOPUS/WoS)

A Novel Technique for Optimization of Statistical Decisions under Parametric Uncertainty through Invariant Statistical Embedding and Averaging in Terms of Pivotal Quantities / N. A. Nechval, G. Berzins, K. N. Nechval, V. Danovics // Journal of Physics: Conference Series Vol. 1603, N 1 (2020), Article number 012022. DOI: 10.1088/1742-6596/1603/1/012022., URL: https://iopscience.iop.org/article/10.1088/1742-6596/1603/1/012022 ISSN 1742-6588 (SCOPUS/WoS)

Prototype proposal for profiling and identification of TV viewers using watching patterns / Aldis Erglis, Gundars Berzins, Irina Arhipova, Artis Alksnis, Evija Ansonska. // ICEIS 2020: 22nd International Conference on Enterprise Information Systems, 5-7 May: Proceedings / ed.: Joaquim Filipe, Michal Smialek, Alexander Brodsky, Slimane Hammoudi. [Setúbal: Science and Technology Publications], 2020 Vol. 1 (2020), p.571-578., URL: https://www.scitepress.org/PublicationsDetail.aspx?ID=jD2lrk4wOm4=&t=1 ISBN 9789897584237 (SCOPUS/WoS)

Huff model for shopping centre assessment using aggregated mobile phone data / Irina Arhipova, Gundars Berzins, Aldis Erglis, Evija Ansonska, Juris Binde, Andris Kovalcuks // Proceedings of the 2nd International Conference on Finance, Economics, Management and IT Business, 5-6 May, 2020 Setúbal: Science and Technology Publications, 2020 Vol. 1 (2020), p.91-97. DOI: 10.5220/0009361400910097., URL: https://www.scitepress.org/Link.aspx?doi=10.5220%2f0009361400910097 ISBN 9789897584220 (SCOPUS/WoS)

Nechval, Nicholas. A New Technique of Invariant Statistical Embedding and Averaging Via Pivotal Quantities for Intelligent Constructing Efficient Statistical Decisions under Parametric Uncertainty / N. A. Nechval, G. Berzins, K. N. Nechval // Automatic Control and Computer Sciences Vol. 54, N 3 (2020), p.191-206. DOI: 10.3103/S0146411620030049., URL: https://link.springer.com/article/10.3103/S0146411620030049 ISSN 0146-4116 (SCOPUS/WoS)

Nechval, Nicholas A. A novel intelligent technique of invariant statistical embedding and averaging via pivotal quantities for optimization or improvement of statistical decision rules under parametric uncertainty / Nicholas A. Nechval, Gundars Berzins, Konstantin N. Nechval // WSEAS Transactions on Mathematics Vol. 19 (2020), p.17-38. DOI: 10.37394/23206.2020.19.3., URL: http://www.wseas.org/multimedia/journals/mathematics/2020/a065106-069.pdf ISSN 1109-2769 (SCOPUS/WoS)

Development of Waste Collection Model Using Mobile Phone Data: A Case Study in Latvia / Irina Arhipova, Gundars Berzins, Aldis Erglis, Evija Ansonska // Advances in Information and Communication: Future of Information and Communication Conference, 5-6 March, 2020, San Francisco (Advances in Intelligent Systems and Computing; Vol.1130). Cham: Springer Nature Switzerland, 2020 P.67-77. DOI: 10.1007/978-3-030-39442-4_6, URL: https://link.springer.com/chapter/10.1007%2F978-3-030-39442-4_6 ISBN 9783030394417. ISSN 2194-5357 (SCOPUS/WoS)

Mobile phone data statistics as a dynamic proxy indicator in assessing regional economic activity and human commuting patterns / Irina Arhipova, Gundars Berzins, Edgars Brekis, Juris Binde, Martins Opmanis, Aldis Erglis, Evija Ansonska // Expert Systems (03 February 2020), Article Number: e12530. https://doi.org/10.1111/exsy.12530, URL: https://onlinelibrary.wiley.com/doi/pdf/10.1111/exsy.12530 ISSN 0266-4720 (SCOPUS/WoS)